The impact of channel variations on wireless distributed computing networks

Xuetao Chen, Timothy R. Newman, Dinesh Datla, Tamal Bose, Jeffrey H. Reed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations


Wireless distributed computing has several unique problems compared with currently well investigated wireless sensor networks. These problems include the impact of channel variation on power allocation, different traffic pattern with higher utilization, and more restricted delay constraints. This paper investigates the impact of communication channel condition on the average execution time of the computing task within wireless distributed computing networks (WDCN). It has been found that the delay performance of wireless distributed computing is influenced by both the average channel condition and the variation of channels. In addition, the impact of channel heterogeneity is also investigated to show the possibility of the optimal workload distribution for energy saving and robustness. Finally, a workload distribution approach combined with a power allocation scheme exploiting the spatial heterogeneity of the channel condition is proposed to balance energy efficiency and robustness.

Original languageEnglish (US)
Title of host publicationGLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference
StatePublished - 2009
Event2009 IEEE Global Telecommunications Conference, GLOBECOM 2009 - Honolulu, HI, United States
Duration: Nov 30 2009Dec 4 2009

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference


Other2009 IEEE Global Telecommunications Conference, GLOBECOM 2009
Country/TerritoryUnited States
CityHonolulu, HI


  • Distributed computing
  • Spatial heterogeneity
  • Wireless communications
  • Workload balance

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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